Miko Robotics vs Preferred Networks

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Miko Robotics employs 100-500 people, while Preferred Networks has 100-500 employees.

Preferred Networks has raised more in total funding at $350M, compared to Miko Robotics's $40M — a gap of $310M.

Preferred Networks holds the higher Awaira Score at 72/100, compared to Miko Robotics's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 9-point gap that reflects meaningful differences in scale or traction.

Miko Robotics was founded by Sneh Vaswani in 2015. Preferred Networks was founded by Toru Nishikawa in 2014. Visit each company's profile on Awaira for a full founder biography.

Miko Robotics: Miko is a social robotics company that builds AI-powered companion robots for children designed to foster learning, emotional development, and creative engagement through conversational AI, educational content delivery, and adaptive personality responses. The Miko robot uses natural language processing, emotion recognition, and a curated content library to create personalized interactive experiences for children aged 5 to 12.\n\nThe company raised approximately $40M in Series C funding from investors including Tribe Capital and Dream Incubator, and has sold its robots in India, the United States, and internationally through both direct-to-consumer channels and educational institution partnerships. Miko's subscription model provides ongoing content and software updates that extend the product lifecycle and create recurring revenue.\n\nConsumer social robotics has historically struggled with limited commercial success, but Miko's focus on the children's educational segment — a market with clear willingness to pay and demonstrable engagement metrics — addresses the use case gap that has undermined broader consumer robotics adoption. The company's combination of hardware, AI software, and content gives it multiple engagement surfaces that pure content or pure hardware competitors cannot match. Preferred Networks: Preferred Networks develops deep learning technology applied to robotics, autonomous driving, and industrial applications, building neural network architectures for real-time edge inference in robot control, factory automation, and connected vehicle systems. The Tokyo company gained international recognition for early competition victories in autonomous navigation and robot manipulation challenges and developed its own deep learning framework, Chainer, which influenced the design of PyTorch before Chainer was eventually retired.\n\nThe company raised approximately $350 million including a landmark $105 million Series A from Toyota Motor Corporation and other strategic investors, making it one of the most valuable AI startups in Japan at the time of its fundraising. Preferred Networks collaborates with Toyota on autonomous driving AI, with NTT on communications AI, and with Fanuc on factory robot intelligence, creating a portfolio of deep technology industrial partnerships that provide both funding and deployment scale for its AI research.\n\nPreferred Networks operates in Japan industrial AI market where established relationships with major manufacturing and automotive companies provide a defensible position that international AI startups find difficult to penetrate through conventional sales approaches. The company research focus on edge AI inference for robotics aligns with Japan competitive strengths in manufacturing automation and precision robotics, markets where AI-enhanced robot intelligence is being adopted to address labour shortages and quality requirements that purely mechanical automation cannot satisfy.

Preferred Networks was founded first in 2014, giving it 1 year of additional market experience. Miko Robotics was founded later in 2015. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Both Miko Robotics and Preferred Networks report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, Miko Robotics and Preferred Networks are direct competitors — both operate in the AI Robotics space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.